Topics in Medical Image Processing and Computational Vision, 1st Edition

  • Published By:
  • ISBN-10: 9400707266
  • ISBN-13: 9789400707269
  • DDC: 610.2856
  • Grade Level Range: College Freshman - College Senior
  • 309 Pages | eBook
  • Original Copyright 2013 | Published/Released June 2014
  • This publication's content originally published in print form: 2013

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The sixteen chapters included in this book were written by invited experts of international recognition and address important issues in Medical Image Processing and Computational Vision, including: Object Recognition, Object Detection, Object Tracking, Pose Estimation, Facial Expression Recognition, Image Retrieval, Data Mining, Automatic Video Understanding and Management, Edges Detection, Image Segmentation, Modelling and Simulation, Medical thermography, Database Systems, Synthetic Aperture Radar and Satellite Imagery.Different applications are addressed and described throughout the book, comprising: Object Recognition and Tracking, Facial Expression Recognition, Image Database, Plant Disease Classification, Video Understanding and Management, Image Processing, Image Segmentation, Bio-structure Modelling and Simulation, Medical Imaging, Image Classification, Medical Diagnosis, Urban Areas Classification, Land Map Generation.The book brings together the current state-of-the-art in the various multi-disciplinary solutions for Medical Image Processing and Computational Vision, including research, techniques, applications and new trends contributing to the development of the related areas.

Table of Contents

Front Cover.
Editorial Board.
Other FrontMatter.
Title Page.
Copyright Page.
1: Learning a Family of Detectors via Multiplicative Kernels.
2: Facial Expression Recognition Using FAPs-Based 3DMMM.
3: SVM Framework for Incorporating Content-Based Image Retrieval and Data Mining into the SBIM Image Manager.
4: Identification of Foliar Diseases in Cotton Crop.
5: Towards Ontological Cognitive System.
6: A Novel Edge Detector Based on Discrete t-norms for Noisy Images.
7: Colour Quantisation as a Preprocessing Step for Image Segmentation.
8: Medical Imaging and Computational Flow Models in Deformable Ducts.
9: Tracking Red Blood Cells in Microchannels: A Comparative Study Between an Automatic and a Manual Method.
10: A Survey for the Automatic Classification of Bone Tissue Images.
11: Colour Video Segmentation for the Quantification of Sweat Dynamic Function.
12: Current Issues in Medical Thermography.
13: Detection of Anatomic Structures in Retinal Images.
14: Database System for Clinical and Computer Assisted Diagnosis of Dermoscopy Images.
15: Segmentation Based Pattern Recognition for Peri-Urban Areas in X Band SAR Images.
16: Improving Flood Risk Management in the City of Lisbon: Developing a Detailed and Updated Map of Imperviousness Using Satellite Imagery.
Author Biography.